Senior ML Data Engineer: Cost Analytics & Pipelines
Summary
Data Engineer at AgileEngine building pipelines and tooling for cost attribution, optimization, and financial modeling. Day to day: developing telemetry-driven cost tooling and maintaining end-to-end ELT/ETL pipelines with SQL, Python, Spark, and AWS/GCP/Snowflake, orchestrated via dbt, Airflow, and Dagster.
AgileEngine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will collaborate with product, engineering, analyst, and finance teams to enable data-driven decisions and ensure data trust.
Responsibilities include developing telemetry-driven cost attribution tooling and maintaining end-to-end ELT/ETL pipelines using SQL, Python, Spark, and AWS/GCP/Snowflake, with orchestration via dbt, Airflow, and Dagster.